Role: Data Engineer
Location: Fort Worth, TX (Face To Face Interview )
Longterm

Comment: 3 days/week onsite. Interviews will be a 1 round virtual interview that will include a technical assessment (1.5 hrs duration).

Description:

Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.)
Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support
Collaborate within a team environment as well as work independently
Be a part of a DevOps team that completely owns and supports their product
Implement batch and streaming data pipelines using cloud technologies
Understands and follows development of coding standards, best practices and privacy and security guidelines

Minimum Qualifications:

3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
3 years data analytics experience using SQL
2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI
Combination of Development, Administration & Support experience in several of the following tools/platforms required:
Scripting: Python, Spark, Unix, SQL
Data Platforms: Teradata, SQL Server, ADLS, Snowflake
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform

All you’ll need for success

Preferred Qualifications- Education & Prior Job Experience

3+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
3+ years data analytics experience using SQL
3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI
Airline Industry Experience
Skills, Licenses & Certifications
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers
Expertise in providing practical direction within the Azure Native cloud services
Azure Development Track Certification (preferred)
Spark Certification (preferred)